Calculating real world object dimensions from Kinect RGB-D image using dynamic resolution

Anwer, Atif; Baig, Asim; Nawaz, Rab

doi:10.1109/ibcast.2015.7058504

Cited by 6 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 3D coordinates of the pixels are calculated through their values and 2D coordinates in a depth image. Object size and volume can be measured by calculating distances between key points such as corners through their 3D coordinates [34,35]. Lu et al [27] generate a point cloud that consists of 3D points from a depth image for reconstructing the 3D surfaces of food and table.…”

Section: Related Work On Amount Estimation For Food Intakementioning

confidence: 99%

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning

Lee,

Kwon

2024

Sensors

View full text Add to dashboard Cite

In this paper, we propose an amount estimation method for food intake based on both color and depth images. Two pairs of color and depth images are captured pre- and post-meals. The pre- and post-meal color images are employed to detect food types and food existence regions using Mask R-CNN. The post-meal color image is spatially transformed to match the food region locations between the pre- and post-meal color images. The same transformation is also performed on the post-meal depth image. The pixel values of the post-meal depth image are compensated to reflect 3D position changes caused by the image transformation. In both the pre- and post-meal depth images, a space volume for each food region is calculated by dividing the space between the food surfaces and the camera into multiple tetrahedra. The food intake amounts are estimated as the difference in space volumes calculated from the pre- and post-meal depth images. From the simulation results, we verify that the proposed method estimates the food intake amount with an error of up to 2.2%.

show abstract

Section: Related Work On Amount Estimation For Food Intakementioning

confidence: 99%

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning

Lee,

Kwon

2024

Sensors

View full text Add to dashboard Cite

show abstract

“…We accounted for dynamic resolution by developing an algorithm for calculating the surface area of each pixel in the scene resulting in a novel quantification of the visible ground plane. Our approach builds upon previous work that calculated the dimensions of rectangular surfaces and objects, and extends it to include irregular shaped objects 74 . All analyses, described below, were conducted using Python and the PIL package.…”

Section: Cue Algorithmsmentioning

confidence: 99%

Spatial representations of natural scene images generalize across individuals, tasks, and viewing time

Mahableshwarkar,

Houck,

Philbeck

et al. 2024

Preprint

View full text Add to dashboard Cite

Natural scenes contain a multitude of cues that can support spatial perception, making it difficult to study. Here, in a series of pre-registered behavioral studies we quantify scene-specific spatial representations that generalize over tasks, stimulus durations, and participants. We presented 156 scene images at varying durations (125, 250, 1000ms) to independent groups of participants who either estimated or discriminated the egocentric distance to target objects. Not only were participants able to estimate distance in images seen only once, they also showed scene-specific deviations that strongly predicted behavior in the other task being performed by different observers. Given that the only commonality was the scenes themselves, pictorial features must be driving the observed responses. In fact, we found one such feature, the size of the ground plane, did explain the magnitude of the observed scene-specific deviations. Our results implicate a finely-tuned, rapid mechanism for integrating pictorial information into percepts of distance in natural images.

show abstract

“…To solve this issue, edge based fusion methods were also studied. Anwer's [12] paper describes using depth image refinement techniques such as depth normalization and bilateral filters. Aouada's [13] paper describes using RGB images as guidance images, where holes are filled referencing edges found in the higher resolution RGB image.…”

Section: Research Applicationsmentioning

confidence: 99%

Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large Scale Workspaces Using Low-Cost RGB-D Sensors

Raaj¹,

Nair²,

Knoll

2017

Computer Vision – ACCV 2016

View full text Add to dashboard Cite

This paper presents a novel algorithm for extracting the pose and dimensions of cargo boxes in a large measurement space of a robotic gantry, with sub-centimetre accuracy using multiple low cost RGB-D Kinect sensors. This information is used by a bin-packing and pathplanning software to build up a pallet. The robotic gantry workspaces can be up to 10 m in all dimensions, and the cameras cannot be placed top-down since the components of the gantry actuate within this space. This presents a challenge as occlusion and sensor noise is more likely.This paper presents the system integration components on how point cloud information is extracted from multiple cameras and fused in realtime, how primitives and contours are extracted and corrected using RGB image features, and how cargo parameters from the cluttered cloud are extracted and optimized using graph based segmentation and particle filter based techniques. This is done with sub-centimetre accuracy irrespective of occlusion or noise from cameras at such camera placements and range to cargo.

show abstract

Calculating real world object dimensions from Kinect RGB-D image using dynamic resolution

Cited by 6 publications

References 11 publications

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning

Amount Estimation Method for Food Intake Based on Color and Depth Images through Deep Learning

Spatial representations of natural scene images generalize across individuals, tasks, and viewing time

Precise Measurement of Cargo Boxes for Gantry Robot Palletization in Large Scale Workspaces Using Low-Cost RGB-D Sensors

Contact Info

Product

Resources

About